license, base_model, pipeline_tag, library_name, tags
| license | base_model | pipeline_tag | library_name | tags | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| apache-2.0 | Qwen/Qwen2.5-3B-Instruct | text-generation | transformers |
|
Qwen2.5-3B + OPD (7B Teacher)
This is an RL4TG checkpoint for Java unit-test generation.
| Field | Value |
|---|---|
| Base model | Qwen/Qwen2.5-3B-Instruct |
| Method | Online Policy Distillation (OPD) |
| Teacher | Qwen/Qwen2.5-Coder-7B-Instruct |
| Released checkpoint | final step 152 |
| Training data | Defects4J project-disjoint training split |
| Prompt format | Qwen2.5 chat template |
| Global training seed | 42 |
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "tomhu/RL4TG-Qwen2.5-3B-OPD-7B-Teacher"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype="auto",
device_map="auto",
)
The model is intended for research on Java unit-test generation. Generated tests must still be compiled and executed in the target project's own build environment.